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from __future__ import annotations
import json
import os
import re
from collections import defaultdict
from pathlib import Path
from typing import Any
from tools.stats.import_test_stats import ADDITIONAL_CI_FILES_FOLDER
from tools.testing.target_determination.heuristics.interface import (
HeuristicInterface,
TestPrioritizations,
)
from tools.testing.target_determination.heuristics.utils import normalize_ratings
from tools.testing.test_run import TestRun
REPO_ROOT = Path(__file__).resolve().parent.parent.parent.parent.parent
class LLM(HeuristicInterface):
def __init__(self, **kwargs: dict[str, Any]) -> None:
super().__init__(**kwargs)
def get_prediction_confidence(self, tests: list[str]) -> TestPrioritizations:
critical_tests = self.get_mappings()
filter_valid_tests = {
TestRun(test): score
for test, score in critical_tests.items()
if test in tests
}
normalized_scores = normalize_ratings(filter_valid_tests, 0.25)
return TestPrioritizations(tests, normalized_scores)
def get_mappings(self) -> dict[str, float]:
path = (
REPO_ROOT
/ ADDITIONAL_CI_FILES_FOLDER
/ "llm_results/mappings/indexer-files-gitdiff-output.json"
)
if not os.path.exists(path):
print(f"could not find path {path}")
return {}
with open(path) as f:
# Group by file
r = defaultdict(list)
for key, value in json.load(f).items():
re_match = re.match("(.*).py", key)
if re_match:
file = re_match.group(1)
r[file].append(value)
# Average the scores for each file
r = {file: sum(scores) / len(scores) for file, scores in r.items()}
return r
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